A review on nonlinear methods using electroencephalographic recordings for emotion recognition B García-Martínez, A Martinez-Rodrigo, R Alcaraz, ... IEEE Transactions on Affective Computing 12 (3), 801-820, 2019 | 94 | 2019 |
Application of entropy-based metrics to identify emotional distress from electroencephalographic recordings B García-Martínez, A Martínez-Rodrigo, R Zangroniz Cantabrana, ... Entropy 18 (6), 221, 2016 | 66 | 2016 |
Multiscale entropy analysis for recognition of visually elicited negative stress from EEG recordings A Martínez-Rodrigo, B García-Martínez, R Alcaraz, P González, ... International journal of neural systems 29 (02), 1850038, 2019 | 55 | 2019 |
Symbolic analysis of brain dynamics detects negative stress B García-Martínez, A Martínez-Rodrigo, R Zangróniz, JM Pastor, ... Entropy 19 (5), 196, 2017 | 46 | 2017 |
Multi-lag analysis of symbolic entropies on EEG recordings for distress recognition A Martínez-Rodrigo, B García-Martínez, L Zunino, R Alcaraz, ... Frontiers in Neuroinformatics 13, 40, 2019 | 22 | 2019 |
Recognition of emotional states from EEG signals with nonlinear regularity-and predictability-based entropy metrics B García-Martínez, A Fernández-Caballero, L Zunino, A Martínez-Rodrigo Cognitive Computation 13, 403-417, 2021 | 16 | 2021 |
Nonlinear predictability analysis of brain dynamics for automatic recognition of negative stress B García-Martínez, A Martínez-Rodrigo, A Fernández-Caballero, ... Neural Computing and Applications 32, 13221-13231, 2020 | 16 | 2020 |
Nonlinear methodologies applied to automatic recognition of emotions: an EEG review B García-Martínez, A Martínez-Rodrigo, R Alcaraz, ... Ubiquitous Computing and Ambient Intelligence: 11th International Conference …, 2017 | 15 | 2017 |
Detection of negative stress through spectral features of electroencephalographic recordings and a convolutional neural network A Martínez-Rodrigo, B García-Martínez, Á Huerta, R Alcaraz Sensors 21 (9), 3050, 2021 | 12 | 2021 |
Assessment of dispersion patterns for negative stress detection from electroencephalographic signals B García-Martínez, A Fernández-Caballero, R Alcaraz, ... Pattern Recognition 119, 108094, 2021 | 9 | 2021 |
Study of electroencephalographic signal regularity for automatic emotion recognition A Martínez-Rodrigo, B García-Martínez, R Alcaraz, ... Ubiquitous Computing and Ambient Intelligence: 11th International Conference …, 2017 | 9 | 2017 |
Conditional entropy estimates for distress detection with EEG signals B García-Martínez, A Martínez-Rodrigo, A Fernández-Caballero, ... Natural and Artificial Computation for Biomedicine and Neuroscience …, 2017 | 8 | 2017 |
Emotion classification from EEG with a low-cost BCI versus a high-end equipment R Sánchez-Reolid, MC Martínez-Sáez, B García-Martínez, ... International Journal of Neural Systems 32 (10), 2250041, 2022 | 6 | 2022 |
Evaluation of brain functional connectivity from electroencephalographic signals under different emotional states B García-Martínez, A Fernández-Caballero, A Martínez-Rodrigo, ... International Journal of Neural Systems 32 (10), 2250026, 2022 | 6 | 2022 |
Cross-sample entropy for the study of coordinated brain activity in calm and distress conditions with electroencephalographic recordings B García-Martínez, A Fernández-Caballero, R Alcaraz, ... Neural Computing and Applications 33, 9343-9352, 2021 | 6 | 2021 |
Application of dispersion entropy for the detection of emotions with electroencephalographic signals B García-Martínez, A Fernández-Caballero, R Alcaraz, ... IEEE Transactions on Cognitive and Developmental Systems 14 (3), 1179-1187, 2021 | 6 | 2021 |
Recent advances and challenges in nonlinear characterization of brain dynamics for automatic recognition of emotional states R Alcaraz, B García-Martínez, R Zangróniz, A Martínez-Rodrigo Natural and Artificial Computation for Biomedicine and Neuroscience …, 2017 | 4 | 2017 |
Nonlinear symbolic assessment of electroencephalographic recordings for negative stress recognition B García-Martínez, A Martínez-Rodrigo, A Fernández-Caballero, ... Natural and Artificial Computation for Biomedicine and Neuroscience …, 2017 | 4 | 2017 |
Non-lineal EEG modelling by using quadratic entropy for arousal level classification A Martínez-Rodrigo, R Alcaraz, B García-Martínez, R Zangróniz, ... Innovation in Medicine and Healthcare 2016 4, 3-13, 2016 | 4 | 2016 |
Electroencephalographic spectral analysis from a wireless low-cost brain-computer interface for symptom capture of auditory verbal hallucinations in schizophrenia P Fernández-Sotos, B García-Martínez, JJ Ricarte, JM Latorre, ... Schizophrenia research 220, 297-299, 2020 | 3 | 2020 |